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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Business Administration
  3. Master of Business Administration (MBA)
  4. Master of Science (MSc) in Quantitative Methods
  5. Course Structure Diagram with Credits
  6. Multivariate Statistics
  7. Description
  • Description
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
SAY530 - Multivariate Statistics II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DOÇ. DR. DUYGU TUNALI
Mode of Delivery This course requires face-to-face classes.
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Statistics and Regression Analysis are the recommended components for this course.
Recommended Resources -
Work Placement Not suitable for this course
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction: Organization of data set, Descriptive statistics, Graphical techniques
Week - 2 Multivariate Normal Distribution: Properties, Maximum likelihood estimation
Week - 3 Principal Component Analysis: Dimension reduction
Week - 4 Principal Component Analysis:Steps to be followed
Week - 5 Introduction to Factor Analysis and comparison with Principal Component Analysis
Week - 6 Factor analysis; Factor Rotation and Factor Scores
Week - 7 Factor analysis; Application
Week - 8 Logistic Regression and Classification
Week - 9 Logit model, Binary logistic regression
Week - 10 Sample review
Week - 11 Multiple logistic regression
Week - 12 Sample review
Week - 13 Overall evaluation
Week - 14 Overall evaluation

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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